MNE started as tool written in C by Matti Hämäläinen while at MGH in
Boston.
- MNE-C is Matti’s C code. Historically, MNE was
a software package for computing cortically constrained Minimum Norm
Estimates from MEG and EEG data.
- The MNE python module was built in the Python programming language to
reimplement all MNE-C’s functionality, offer transparent scripting,
and extend MNE-C’s functionality considerably (see left). Thus it is
the primary focus of this documentation.
- MNE-MATLAB toolbox is available mostly to allow reading and writing
FIF files.
- MNE with CPP aims to provide modular and open-source tools for
real-time acquisition, visualization, and analysis. It provides
a separate website for documentation and releases.
The MNE tools are based on the FIF file format from Neuromag.
However, MNE can read native CTF, BTI/4D, KIT and various
EEG formats (see IO functions).
If you have been using MNE-C, there is no need to convert your fif
files to a new system or database – MNE works nicely with
the historical fif files.
